Delete colo_app.ipynb

colo_app.ipynb

@@ -1,340 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "outputs": [],
-   "source": [
-    "#|default_exp app"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "from fastai.vision.all import *\n",
-    "import gradio as gr"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "PILImage mode=RGB size=192x162",
-      "image/png": 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\n"
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "im = PILImage.create('colonoscopy.jpg')\n",
-    "im.thumbnail((192,192))\n",
-    "im"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "PILImage mode=RGB size=192x192",
-      "image/png": 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PNuVYK2baydd1HULous57v1gsvn371jTNmwcioHkax9H6KIrCFkDOuRCCraxDCLvdznu/Xq/t8PDNWAPNx3TbskS891VV7ff7q6uroiiqqmqapm3bYRjatn189qMgoPkYhsGiiTHaNj7GOO3J7Z1fv37d3NxcXl6GEP7knPC3CGg+xnEsy7KqqnEcp3WPVWL7+c1ms1gsLi4u/sVBCWg+YoyWi30RrCiKnLM9YLff5dR1ffKZvIKA5sNmHXttoUxJvepw+VXYhc3HVM+0Y+/7/v3SMQQ0H/brLfsakHVjT7vedVBuYfMRQrBHp9Pa2Tbw7zvoew+Av8O+klGWZd/3f3NcbmEzMW3XD4fDkx9avCsCmg97tH5/f68823otApoP51yM8fr62k59/tKg5386D5zHDATJP8eVHSongxtEAAAAAElFTkSuQmCC\n"
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "im2 = PILImage.create('white_square.jpg')\n",
-    "im2.thumbnail((192,192))\n",
-    "im2"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "learn = load_learner('export.pkl')"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n<style>\n    /* Turns off some styling */\n    progress {\n        /* gets rid of default border in Firefox and Opera. */\n        border: none;\n        /* Needs to be in here for Safari polyfill so background images work as expected. */\n        background-size: auto;\n    }\n    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n    }\n    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n        background: #F44336;\n    }\n</style>\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n    <div>\n      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "('colonoscopy', TensorBase(0), TensorBase([1.0000e+00, 2.3704e-10]))"
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "learn.predict(im)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n<style>\n    /* Turns off some styling */\n    progress {\n        /* gets rid of default border in Firefox and Opera. */\n        border: none;\n        /* Needs to be in here for Safari polyfill so background images work as expected. */\n        background-size: auto;\n    }\n    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n    }\n    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n        background: #F44336;\n    }\n</style>\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n    <div>\n      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "('not_colonoscopy', TensorBase(1), TensorBase([0.0482, 0.9518]))"
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "learn.predict(im2)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "def classify_img(img):\n",
-    "    pred, cl, probs = learn.predict(img)\n",
-    "\n",
-    "    prob0 = float(probs[0])\n",
-    "    prob1 = float(probs[1])\n",
-    "\n",
-    "    d = {\n",
-    "        \"This is a colonoscopy photo --- probability:\":prob0,\n",
-    "        \"This is not a colonoscopy photo --- probability:\":prob1\n",
-    "    }\n",
-    "    return d"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n<style>\n    /* Turns off some styling */\n    progress {\n        /* gets rid of default border in Firefox and Opera. */\n        border: none;\n        /* Needs to be in here for Safari polyfill so background images work as expected. */\n        background-size: auto;\n    }\n    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n    }\n    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n        background: #F44336;\n    }\n</style>\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "\n    <div>\n      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "{'This is a colonoscopy photo --- probability:': 1.0,\n 'This is not a colonoscopy photo --- probability:': 2.3704227469778516e-10}"
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "classify_img(im)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/karl/anaconda3/envs/fastai/lib/python3.8/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
-      "  warnings.warn(\n",
-      "/home/karl/anaconda3/envs/fastai/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
-      "  warnings.warn(value)\n",
-      "/home/karl/anaconda3/envs/fastai/lib/python3.8/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
-      "  warnings.warn(\n",
-      "/home/karl/anaconda3/envs/fastai/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
-      "  warnings.warn(value)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
-      "\n",
-      "To create a public link, set `share=True` in `launch()`.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": ""
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#|export\n",
-    "image = gr.inputs.Image(shape=(192,192))\n",
-    "label = gr.outputs.Label()\n",
-    "examples = ['colonoscopy.jpg','colonoscopy2.jpg','colonoscopy3.jpg','colonoscopy4.jpg', 'white_square.jpg','dog.jpeg','pinkroundball.jpeg','earthworm.jpg']\n",
-    "\n",
-    "intf=gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)\n",
-    "intf.launch(inline=False)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}